2results about How to "Efficient and accurate judgment" patented technology

The application relates to a user natural gas safety detection system, a method and a storage medium, and the method comprises the following steps: reading user information of a user natural gas meter, wherein the user information comprises a user ID and a gas record; dividing the user type of the user ID based on the gas record; generating a trigger signal with different detection frequencies based on the user type; obtaining gas information corresponding to the user ID based on the trigger signal to update the gas record; judging whether a natural gas pipeline exists leakage based on the gas information, and issuing an alarm information when the leakage judgment result is that leakage exists, wherein the alarm information comprises the user ID; issuing a valve closing action instruction to the natural gas meter corresponding to the user ID based on the alarm information, and recording the alarm information in the gas record. The application has the effects of improving the safety of a household natural gas pipeline and realizing global natural gas safety detection and protection for community users.

Embodiments of the present application provide a fraudulent website detection method and related equipment. The fraudulent website detection method comprises: capturing a website to be detected, and extracting multi-dimensional website information; performing feature engineering on the multi-dimensional website information to obtain corresponding multi-dimensional website features; and inputting the multi-dimensional website features into a website detection model to obtain a detection result. Through the extraction and optimization of the multi-dimensional features of the website after capturing various website information, the present application provides multiple identification clues for the complex camouflage of fraudulent websites, further compresses redundant information, and strengthens key features related to fraud. These key features are input into the website detection model for multi-modal detection and classification, so as to efficiently and accurately determine whether the website is a fraudulent website. The present application not only can process complex multi-modal data, but also can quickly and efficiently identify fraudulent websites, improve detection accuracy, reduce misjudgment and omissions, and thus achieve the technical effects of improving user safety and reducing risks.